Physics-based reward driven image analysis in microscopy. - Kamyar Barakati; Hui Yuan; Amit Goyal; Sergei V. Kalinin (CoRR, 2024)

Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments. - Kamyar Barakati; Utkarsh Pratiush; Austin Houston; Gerd Duscher; Sergei V. Kalinin (CoRR, 2024)

Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data. - Kamyar Barakati; Yu Liu; Chris Nelson; Maxim A. Ziatdinov; Xiaohang Zhang; Ichiro Takeuchi; Sergei V. Kalinin (CoRR, 2024)

Rewards-based image analysis in microscopy. - Kamyar Barakati; Yu Liu; Utkarsh Pratiush; Boris N. Slautin; Sergei V. Kalinin (CoRR, 2025)

Causal Discovery from Data Assisted by Large Language Models. - Kamyar Barakati; Alexander Molak; Chris Nelson; Xiaohang Zhang; Ichiro Takeuchi; Sergei V. Kalinin (CoRR, 2025)

Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM. - Kamyar Barakati; Yu Liu; Hiroshi Funakubo; Sergei V. Kalinin (CoRR, 2025)

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy. - Yu Liu; Utkarsh Pratiush; Kamyar Barakati; Hiroshi Funakubo; Ching-Che Lin; Jaegyu Kim; Lane W. Martin; Sergei V. Kalinin (CoRR, 2025)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)